Keda Yang

23 papers and 420 indexed citations i.

About

Keda Yang is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Keda Yang has authored 23 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Cancer Research and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Keda Yang’s work include MicroRNA in disease regulation (8 papers), Lymphoma Diagnosis and Treatment (3 papers) and Circular RNAs in diseases (3 papers). Keda Yang is often cited by papers focused on MicroRNA in disease regulation (8 papers), Lymphoma Diagnosis and Treatment (3 papers) and Circular RNAs in diseases (3 papers). Keda Yang collaborates with scholars based in China and United States. Keda Yang's co-authors include Baihua Luo, Zhong Tian, Fan Zhang, Deyun Feng, Zhan Qu, Juan Su, Wenjuan Mei, Zihua Chen, Ruixin Li and Weijie Yuan and has published in prestigious journals such as PLoS ONE, Experimental Cell Research and Oncotarget.

In The Last Decade

Co-authorship network of co-authors of Keda Yang i

Fields of papers citing papers by Keda Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keda Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Keda Yang. The network helps show where Keda Yang may publish in the future.

Countries citing papers authored by Keda Yang

Since Specialization
Citations

This map shows the geographic impact of Keda Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Keda Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keda Yang more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025